{"id":10432,"date":"2020-10-16T09:33:03","date_gmt":"2020-10-16T09:33:03","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/?p=10432"},"modified":"2023-10-20T14:28:59","modified_gmt":"2023-10-20T14:28:59","slug":"artificial-intelligence-can-we-kill","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/artificial-intelligence-can-we-kill\/","title":{"rendered":"Can We Kill \u201cArtificial Intelligence\u201d Yet?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"10432\" class=\"elementor elementor-10432\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-1ca578e3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1ca578e3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1b74a894\" data-id=\"1b74a894\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-aa6d3d6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa6d3d6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ee463a3\" data-id=\"ee463a3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5260572 elementor-widget elementor-widget-text-editor\" data-id=\"5260572\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tWe\u2019re deepening the credibility crisis in data science<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:preformatted -->\n<pre class=\"wp-block-preformatted\">1. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#48a6\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Background<\/a>\n2. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#da38\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">History of AI<\/a>\n3. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#21c0\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Limits of ML<\/a>\n4. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#b751\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Next Steps<\/a>\n5. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#b898\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Killing AI<\/a>\n6. <a href=\"https:\/\/medium.com\/better-programming\/kill-artificial-intelligence-7bc02f85ea70#b13b\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Closing Thoughts<\/a><\/pre>\n<!-- \/wp:preformatted -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-57905b6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"57905b6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-50c4944\" data-id=\"50c4944\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fc26b16 elementor-widget elementor-widget-text-editor\" data-id=\"fc26b16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong>TL;DR:\u00a0<\/strong>Data scientists have a responsibility to shepherd the term\u00a0<em>artificial intelligence<\/em>\u00a0out of the world. We need to show maturity in walking back the near unattainable promise embedded in this misused phrase.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-30b9136 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"30b9136\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5206ca6\" data-id=\"5206ca6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bf8977d elementor-widget elementor-widget-heading\" data-id=\"bf8977d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Background<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-9a1c6d1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9a1c6d1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-70977d4\" data-id=\"70977d4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6a3fd2d elementor-widget elementor-widget-text-editor\" data-id=\"6a3fd2d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u201cThat\u2019s a really strange pronunciation of\u00a0<em>machine learning,<\/em>\u00a0friend.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74320ae elementor-widget elementor-widget-text-editor\" data-id=\"74320ae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThis is my response to a fellow data scientist\u2019s use of the words\u00a0<em>artificial intelligence<\/em>\u00a0during a mid-week phone call about how we might grow our business.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-778cb36 elementor-widget elementor-widget-text-editor\" data-id=\"778cb36\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tHe pauses, and, cognizant that snarky interruptions aren\u2019t an effective teaching tool, I take a deep breath and explain: \u201cLet\u2019s say\u00a0<em>machine learning<\/em>\u00a0because it more accurately describes the process of<strong>\u00a0teaching mathematical models\u00a0<\/strong>to generate insights by providing them\u00a0<strong>with training examples.<\/strong>\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-9e5d76c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9e5d76c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-60017fc\" data-id=\"60017fc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f181179 elementor-widget elementor-widget-text-editor\" data-id=\"f181179\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tAs I\u2019ve deepened my understanding of data science, I\u2019ve increasingly found that the phrase\u00a0<em>artificial intelligence<\/em>\u00a0sparkles with false promise:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul>\n<li>The term misleads decision-makers into investing in advanced analytics before their organization has reached\u00a0<strong>sufficient data maturity<\/strong>. After all,\u00a0<em>intelligence<\/em>\u00a0should be able to cope with a little data complexity, right?<\/li>\n<li>It confuses the heck out of young students, who might\u2019ve applied a little extra attention in their\u00a0<strong>statistics class<\/strong>\u00a0if they understood that was the path to a promising career in data science.<\/li>\n<li>It distracts from\u00a0<strong>tried and true methodologies<\/strong>\u00a0within data science.<\/li>\n<\/ul>\n<!-- \/wp:list -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-0514744 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0514744\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-787fa8a\" data-id=\"787fa8a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3773eef elementor-widget elementor-widget-text-editor\" data-id=\"3773eef\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>I\u2019m ready to kill artificial intelligence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-16beeba elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16beeba\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a844efe\" data-id=\"a844efe\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-294e7f4 elementor-widget elementor-widget-heading\" data-id=\"294e7f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">History of Artificial Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-751710f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"751710f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c0827ca\" data-id=\"c0827ca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a95f3ac elementor-widget elementor-widget-text-editor\" data-id=\"a95f3ac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThe academic discipline got its start in 1955 with the goal of creating machines capable of mimicking human cognitive function. Learning, problem solving, applying common sense, operating under conditions of ambiguity \u2014 taken together, these traits form the basis for\u00a0<em>general intelligence,<\/em>\u00a0the long-standing goal of artificial intelligence.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2dfedc0 elementor-widget elementor-widget-text-editor\" data-id=\"2dfedc0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tSince inception, AI research has experienced boom and bust cycles, fueled by an abundance of optimism followed by a collapse of funding. These setbacks have been so dramatic and so endemic to the field that they received their own neologism:\u00a0<em>AI winter.<\/em>\u00a0The two most dramatic winters occurred in the mid-to-late \u201970s and the mid-80s to mid-90s. Failure to appropriately manage hype is the commonly cited cause of this unfortunate antipattern.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-21233fb elementor-widget elementor-widget-text-editor\" data-id=\"21233fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIn the words of the chief data scientist of the Strategic Artificial Intelligence Lab,\u00a0<a href=\"https:\/\/theartistsofdatascience.fireside.fm\/t-scott-clendaniel\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">T. Scott Clendaniel<\/a>:\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03717f6 elementor-widget elementor-widget-text-editor\" data-id=\"03717f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u201cI\u2019m really concerned that we\u2019re going to enter a third AI winter \u2026 because I think the field has been so overhyped that there\u2019s no way it can possibly live up to expectations.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db80188 elementor-widget elementor-widget-text-editor\" data-id=\"db80188\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tLately, the machine learning community has been fielding a lot of journalistic inquiries about AI. In May 2020,\u00a0<a href=\"https:\/\/openai.com\/blog\/openai-api\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">OpenAI released their GPT-3 model<\/a>\u00a0for natural language processing. The cost to initially train the model was\u00a0<a href=\"https:\/\/lambdalabs.com\/blog\/demystifying-gpt-3\/\" target=\"_blank\" rel=\"noreferrer noopener\">$4.6 million, requiring 355 GPU years of computational power<\/a>. As of now, OpenAI has released the model through a controlled API access point rather than making the code freely available to researchers.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c49a09 elementor-widget elementor-widget-text-editor\" data-id=\"7c49a09\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tSetting aside concerns of impracticality and inaccessibility for a moment \u2014 GPT-3 has produced\u00a0<a href=\"https:\/\/www.technologyreview.com\/2020\/07\/20\/1005454\/openai-machine-learning-language-generator-gpt-3-nlp\/\" target=\"_blank\" rel=\"noreferrer noopener\">some impressive feats<\/a>. And yet, importantly, this overhyped development does not move us closer to artificial intelligence.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4ce4d0 elementor-widget elementor-widget-text-editor\" data-id=\"d4ce4d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIf advancing research into AGI is analogous to sending a spacecraft to explore Mars, then the development of GPT-3 is more or less analogous to investing $4.6 million into a rocket that creates a beautiful fire cloud of exhaust without ever leaving the launchpad.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-bb03d52 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bb03d52\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d326221\" data-id=\"d326221\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c0879d4 elementor-widget elementor-widget-heading\" data-id=\"c0879d4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Limits of Machine Learning<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-a0960ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a0960ef\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6325b5a\" data-id=\"6325b5a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-98647bf elementor-widget elementor-widget-text-editor\" data-id=\"98647bf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThe general consensus of the research community is that AGI won\u2019t be attained by deepening <a href=\"https:\/\/www.experfy.com\/blog\/what-machine-learning-data-poisoning\/\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning<\/a> techniques.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-98a0406 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"98a0406\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3644949\" data-id=\"3644949\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fdca08a elementor-widget elementor-widget-image\" data-id=\"fdca08a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/miro.medium.com\/max\/5760\/0*HHzSw-sjDSyujQpI\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-3d76c92 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3d76c92\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-73d6664\" data-id=\"73d6664\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a85dba9 elementor-widget elementor-widget-text-editor\" data-id=\"a85dba9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.youtube.com\/watch?v=mSTCzNgDJy4&amp;feature=youtu.be&amp;t=171\" target=\"_blank\" rel=\"noreferrer noopener\">Machine learning capabilities are narrow<\/a>. An ML algorithm may be able to achieve\u00a0<a href=\"https:\/\/www.quantamagazine.org\/machines-beat-humans-on-a-reading-test-but-do-they-understand-20191017\/\" target=\"_blank\" rel=\"noreferrer noopener\">better-than-human performance<\/a>\u00a0but only on exceedingly specific tasks and only after immensely expensive training.<\/p>\n<!-- \/wp:paragraph -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4907d8c elementor-widget elementor-widget-text-editor\" data-id=\"4907d8c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tHuman capabilities are comparatively broad. We seem to be exceptionally good at\u00a0<em>one-shot learning<\/em>\u00a0\u2014 making inferences and assigning categories based on a very few examples. Young children quickly master tasks of matching, sorting, comparing, and ordering. Infants have an innate desire to explore novelty and draw conclusions about the wider world.<!-- \/wp:paragraph -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9377230 elementor-widget elementor-widget-text-editor\" data-id=\"9377230\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThese capacities are as yet unmatched by machine intelligence. There\u2019s somewhat of a paradox in the fact that machine learning can defeat a grand master at Go, but a robot can\u2019t beat a toddler at sorting blocks.<!-- \/wp:paragraph -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-ed7d377 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ed7d377\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5a5467b\" data-id=\"5a5467b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9a36aa4 elementor-widget elementor-widget-text-editor\" data-id=\"9a36aa4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tFollowing the path of improved machine learning techniques seems unlikely to result in the attainment of human levels of common-sense reasoning or versatile problem solving. To quote\u00a0<a href=\"https:\/\/changelog.com\/practicalai\/85\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning pioneer Stuart Russell<\/a>:\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32aea26 elementor-widget elementor-widget-text-editor\" data-id=\"32aea26\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u201cI don\u2019t think deep learning evolves into AGI. Artificial General Intelligence is not going to be reached by just having bigger deep learning networks and more data\u2026\u00a0<strong>Deep learning systems don\u2019t know anything<\/strong>, they can\u2019t reason, and they can\u2019t accumulate knowledge, they can\u2019t apply what they learned in one context to solve problems in another context etc. And these are just elementary things that humans do all the time.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d8047da elementor-widget elementor-widget-text-editor\" data-id=\"d8047da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIn other words, statistics-based solutions are fairly good at interpolation \u2014 i.e., drawing conclusions about novel examples that fall within the bounds of data they\u2019ve already seen. They aren\u2019t very good at extrapolation \u2014 i.e., using what they\u2019ve learned to make conclusions about the broader world.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8baefe8 elementor-widget elementor-widget-text-editor\" data-id=\"8baefe8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIt\u2019s possible that \u201c<a href=\"https:\/\/www.technologyreview.com\/2020\/07\/20\/1005454\/openai-machine-learning-language-generator-gpt-3-nlp\/\" target=\"_blank\" rel=\"noreferrer noopener\">the greatest trick AI ever pulled was convincing the world it exists<\/a>.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-5233c90 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5233c90\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9527917\" data-id=\"9527917\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-085763e elementor-widget elementor-widget-heading\" data-id=\"085763e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Next Steps<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-3739d2d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3739d2d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-36fdcc3\" data-id=\"36fdcc3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1e5721e elementor-widget elementor-widget-text-editor\" data-id=\"1e5721e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>I think it\u2019s extremely important for machine learning researchers to ask themselves if they\u2019re solving the right challenges.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-595f900 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"595f900\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-076d1cb\" data-id=\"076d1cb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0cd0d8d elementor-widget elementor-widget-video\" data-id=\"0cd0d8d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=TrdmCkmK3y4&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-c3546a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c3546a5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7ffc5e1\" data-id=\"7ffc5e1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-454921d elementor-widget elementor-widget-text-editor\" data-id=\"454921d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tHere\u2019s a YouTube video about\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1912.01865\" target=\"_blank\" rel=\"noreferrer noopener\">StarGAN v2<\/a>, a machine learning model that can take a cat photo and use it to create a bunch of similar images inspired by photos of dogs. Meanwhile, data quality issues cost U.S. organizations $3.1 trillion a year\u00a0<a href=\"https:\/\/hbr.org\/2016\/09\/bad-data-costs-the-u-s-3-trillion-per-year\" target=\"_blank\" rel=\"noreferrer noopener\">according to analysis from IBM<\/a>.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b87e4d2 elementor-widget elementor-widget-text-editor\" data-id=\"b87e4d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tPerhaps removing AI from our lexicon will help debunk the notion that an artificially intelligent tool can address substantive\u00a0<a href=\"https:\/\/www.dataversity.net\/data-management-has-failed-and-presented-us-an-historic-opportunity\/\" target=\"_blank\" rel=\"noreferrer noopener\">data management failures<\/a>. Low-quality data is unfortunately ubiquitous \u2014 and it\u2019ll impair business function and impede the implementation of even the simplest of advanced-analytics tools.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-cf0c51f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cf0c51f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8cc2836\" data-id=\"8cc2836\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7d1a5ec elementor-widget elementor-widget-heading\" data-id=\"7d1a5ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Killing Artificial Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-bc04c49 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bc04c49\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2ba41a9\" data-id=\"2ba41a9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-942442f elementor-widget elementor-widget-text-editor\" data-id=\"942442f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIf you\u2019re a data scientist or machine learning engineer, I hope your takeaway from this article is a sense of responsibility to quit feeding into the hype around AI. Unless you\u2019re on the absolute cutting edge of AI research, your use of the term should be reserved for discussion of the\u00a0<a href=\"http:\/\/globalprioritiesproject.org\/2015\/10\/three-areas-of-research-on-the-superintelligence-control-problem\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">superintelligence control problem<\/a>\u00a0and other future-oriented considerations.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-f4f8ffd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f4f8ffd\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d49de15\" data-id=\"d49de15\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99fbd02 elementor-widget elementor-widget-text-editor\" data-id=\"99fbd02\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIf you\u2019re a nontechnical person, you can safely replace just about every use of\u00a0<em>artificial intelligence\u00a0<\/em>with\u00a0<em>very, very advanced statistics.<\/em>This is certainly true for any tool available on the marketplace today. There\u2019s still room for philosophical discussion around questions of artificial general intelligence, but that technology is still a long ways off.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-6a74a49 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6a74a49\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d3ca9fb\" data-id=\"d3ca9fb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8e8c521 elementor-widget elementor-widget-text-editor\" data-id=\"8e8c521\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tAnd if you happen to be a business leader, particularly one with AI in your title,\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=knGTORm5s5I&amp;feature=youtu.be&amp;t=1245\" rel=\"noopener\">here\u2019s what Anil Chaudhry<\/a>, the director of AI implementations at the U.S. GSA, has to say about his role:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\">\n<p>\u201cI describe AI to people as\u00a0<strong>augmented intelligence, not artificial intelligence<\/strong>.\u201d<\/p>\n<\/blockquote>\n<!-- \/wp:quote -->\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2ce8f61 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2ce8f61\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8cc2918\" data-id=\"8cc2918\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-748a7c7 elementor-widget elementor-widget-text-editor\" data-id=\"748a7c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIn summary, the future vision of artificial intelligence won\u2019t be achieved through contemporary methods. The hype around massive, impractical models such as GPT-3 reveals a lack of understanding about the current state of machine intelligence \u2014 or lack thereof.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p id=\"dcd5\">The overuse of\u00a0<em>artificial intelligence\u00a0<\/em>isn\u2019t just a whimsical exaggeration \u2014 it\u2019s damaging to the data science community and risks tipping the field into a\u00a0<a href=\"https:\/\/www.datacamp.com\/community\/blog\/credibility-crisis-in-data-science\" class=\"broken_link\" rel=\"noopener\">crisis of confidence<\/a>.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-cc8886f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cc8886f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-baa34cf\" data-id=\"baa34cf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-289088c elementor-widget elementor-widget-heading\" data-id=\"289088c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Closing Thoughts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-7d75235 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7d75235\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7cc520a\" data-id=\"7cc520a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e6d7154 elementor-widget elementor-widget-text-editor\" data-id=\"e6d7154\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Here are three trends I see for data science in the next three to five years.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-1502209 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1502209\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-53199a8\" data-id=\"53199a8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5cf4a20 elementor-widget elementor-widget-heading\" data-id=\"5cf4a20\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stewardship of the language used in our field<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-e80e382 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e80e382\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2f1cfe7\" data-id=\"2f1cfe7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-66dd102 elementor-widget elementor-widget-text-editor\" data-id=\"66dd102\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tClearly, I feel strongly that there\u2019s an imperative to remove\u00a0<em>AI<\/em>\u00a0from the lexicon.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-ee8c82d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ee8c82d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d8df62f\" data-id=\"d8df62f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-75746b1 elementor-widget elementor-widget-heading\" data-id=\"75746b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Increased reliance on human-centered design to identify risks associated with machine learning malpractice<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-b631274 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b631274\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c8822a8\" data-id=\"c8822a8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e483aae elementor-widget elementor-widget-text-editor\" data-id=\"e483aae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Not all errors should be treated as equally bad.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62d6502 elementor-widget elementor-widget-text-editor\" data-id=\"62d6502\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tTo quote\u00a0<a href=\"https:\/\/changelog.com\/practicalai\/85\" rel=\"noopener\">Stuart Russell<\/a>\u00a0again:\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a203f11 elementor-widget elementor-widget-text-editor\" data-id=\"a203f11\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\u201cSome kinds of errors are relatively cheap. Whereas<a href=\"https:\/\/www.forbes.com\/sites\/mzhang\/2015\/07\/01\/google-photos-tags-two-african-americans-as-gorillas-through-facial-recognition-software\/#35d674b7713d\" class=\"broken_link\" rel=\"noopener\">\u00a0classifying a human as a gorilla, as Google found out<\/a>, is really expensive, like in the\u00a0<strong>billions of dollars of trashing your goodwill and global reputation.<\/strong>\u00a0I\u2019m sure it was sort of an innocent error, coming from just\u00a0<strong>using a uniform loss function<\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5696075 elementor-widget elementor-widget-text-editor\" data-id=\"5696075\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIdentifying the gravity of this potential mistake from the outset of the design process could have saved the ML engineering team at Google a lot of heartache. Incorporating human-centered design into the model-creation process doesn\u2019t just help with selection of the optimal loss function, but it also helps identify potential sources of bias (e.g., racially unbalanced training data) and other risks.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-644d400 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"644d400\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-634e5de\" data-id=\"634e5de\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ce13c61 elementor-widget elementor-widget-heading\" data-id=\"ce13c61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">A return to the fundamentals, including a renewed focus on understanding the end-to-end process of data generation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2cffda0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2cffda0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63cf949\" data-id=\"63cf949\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6d8c678 elementor-widget elementor-widget-text-editor\" data-id=\"6d8c678\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tI\u2019d love to see data scientists develop a breadth of skills spanning the data generation pipeline.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2882b08 elementor-widget elementor-widget-text-editor\" data-id=\"2882b08\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tQuoting again, this time from\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=kaL1KzDTotc&amp;feature=youtu.be&amp;t=388\" target=\"_blank\" rel=\"noreferrer noopener\">Harvard professor Gary King<\/a>:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\">\n<p>\u201cYou have to know the whole data generation process from which the data emerge\u2026 We always focus on that whole chain of evidence\u2026 After all,\u00a0<strong>we\u2019re studying the world \u2014 we\u2019re not studying some bunch of data<\/strong>.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-6e88d27 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6e88d27\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-da672c7\" data-id=\"da672c7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b433d7 elementor-widget elementor-widget-text-editor\" data-id=\"2b433d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This is why I think it\u2019s crucial for data scientists to develop familiarity with the&nbsp;<a href=\"https:\/\/towardsdatascience.com\/best-data-science-certification-4f221ac3dbe3\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">principles of end-to-end data strategy<\/a>.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><br><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The overuse of artificial intelligence isn\u2019t just a whimsical exaggeration \u2014 it\u2019s damaging to the data science community and risks tipping the field into a crisis of confidence. It\u2019s crucial for data scientists to develop familiarity with the principles of end-to-end data strategy.<\/p>\n","protected":false},"author":940,"featured_media":10433,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97,94,92,408],"ppma_author":[3860],"class_list":["post-10432","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence","tag-data-science","tag-machine-learning","tag-programming"],"authors":[{"term_id":3860,"user_id":940,"is_guest":0,"slug":"nicole-janeway-bills","display_name":"Nicole Janeway","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/10\/Nicole-Janeway-Bills-150x150.jpg","user_url":"https:\/\/page.co\/ahje9p","last_name":"Janeway","first_name":"Nicole","job_title":"","description":"Nicole Janeway, a Data Scientist at Atlas Research, has  experience in commercial and federal consulting.  She helps organizations leverage their top asset:  a simple and robust Data Strategy. <a href=\"https:\/\/page.co\/ahje9p\/\"> Sign up<\/a> for more of her writing."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/10432","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/940"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=10432"}],"version-history":[{"count":9,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/10432\/revisions"}],"predecessor-version":[{"id":33605,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/10432\/revisions\/33605"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/10433"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=10432"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=10432"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=10432"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=10432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}